Tccl-net: Transformer-convolution collaborative learning network for omnidirectional image super-resolution
As virtual reality and metaverse become more and more popular, the Omnidirectional Image
(OI) has attracted extreme attention due to its immersive display characteristics. However …
(OI) has attracted extreme attention due to its immersive display characteristics. However …
HDR light field imaging of dynamic scenes: A learning-based method and a benchmark dataset
Light field (LF) imaging is an effective way to enable immersive applications. However,
limited by the potential well capacity of the image sensor, the acquired LF images suffer from …
limited by the potential well capacity of the image sensor, the acquired LF images suffer from …
MWformer: a novel low computational cost image restoration algorithm
The development of the Internet of Things has led to a surge in edge devices. The image
detection algorithm, one of the commonly used algorithms in edge computing, is affected by …
detection algorithm, one of the commonly used algorithms in edge computing, is affected by …
Light Field View Synthesis Using Deformable Convolutional Neural Networks
Light Field (LF) imaging has emerged as a technology that can simultaneously capture both
intensity values and directions of light rays from real-world scenes. Densely sampled LFs …
intensity values and directions of light rays from real-world scenes. Densely sampled LFs …
Light field reconstruction with decoupled fusion and angular attention mechanism
F Liu, X Bai, J Hou, Q Zhang, T Yan… - Journal of Electronic …, 2023 - spiedigitallibrary.org
Light field image (LFI) processing is a hot topic of current study; however, light field (LF)
cameras' poor sensor resolution forces a trade-off between spatial resolution and angular …
cameras' poor sensor resolution forces a trade-off between spatial resolution and angular …